Senior Java Engineer

Man Group

4d•$150,000 - $170,000•Hybrid

About The Position

As an Senior Java Engineer within the Man Numeric OMT team, you’ll be building and maintaining the Order Management System underpinning the systematic investment process for Numeric. This is an opportunity to work closely with our trading desk, quant strategy teams, and operations to deliver an Order Management System that is flexible, robust, and performant to safely trade millions of orders annually and enable the onboarding of new investment strategies for our clients. You’ll have direct exposure to cash equities, equity swaps, and futures asset classes covering both listed and OTC markets, while building deep understanding in how they’re executed and booked. This role offers a unique opportunity to learn soup-to-nuts how data is transformed from investment signals into trading decisions ensuring the trading life cycle is robust and scalable. This position requires support coverage and also offers advancement opportunities within Man Front Office Technology. Our systems run on Linux via containers, with most systems built using Java and a bit of Python. The platform consists of a Tomcat web application along with a suite of microservices running on the Micronaut framework and others on Python. The platform utilizes event sourcing architecture to propagate state events across service domains. We use Git for source control, Jenkins for continuous integration, Jetbrains IntelliJ IDE with GitHub Copilot license, Grafana + Prometheus for metrics collection, Docker for containerisation, Slack for internal communication, and much of the Confluence stack including Jira to run our Scrum sprints. That said, our technology is never static: we constantly evaluate new tools and libraries.

Requirements

Experience with Microservice architectures and libraries (Spring Boot, Micronaut, etc.)
5+ years of professional Java experience in an enterprise web application context
Front End: CSS, JavaScript, JSP, HTML, Ajax, JSON; modern JS libraries such as React, Angular, Node.js
Middle Tier: Spring MVC or equivalent, Core Spring framework, JPA/Hibernate, Java 8+ (Java 11), Tomcat 8+ (Tomcat 9), messaging frameworks (Kafka, RabbitMQ)
Back End: Strong SQL and RDBMS knowledge (SQL Server, Oracle), query tuning, stored procedures, exposure to NoSQL (MongoDB)
Strong SQL and database skills
Proficiency in Linux shell commands
Source control experience (Git, SVN, etc.)
Strong collaborative engineering practices and agile methodologies (Scrum, Kanban)
Familiarity with Atlassian tools (Jira, Confluence, BitBucket)
Embracing agentic engineering - willingness to work effectively with AI-assisted development tools as part of daily workflow
Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
Demonstrable passion for technology e.g. personal projects, open-source involvement
Intellectually robust with an analytic approach to problem solving
Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
Focused on delivering value to the business with relentless efforts to improve process
Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Nice To Haves

Understanding of financial markets, instruments, and protocols (FIX)
Experience with front-office software development (trading systems, equity modelling, analytics)
Experience working closely with Quants and/or Traders
Expertise in distributed systems with service-based or event-driven architectures
Web development experience (TypeScript)
Relevant mathematical knowledge (statistics, asset pricing, time-series analysis, optimisation algorithms)
Python knowledge

Responsibilities

Building and maintaining the Order Management System underpinning the systematic investment process for Numeric.
Working closely with trading desk, quant strategy teams, and operations to deliver a flexible, robust, and performant Order Management System.
Safely trading millions of orders annually.
Enabling the onboarding of new investment strategies for clients.
Gaining direct exposure to cash equities, equity swaps, and futures asset classes covering both listed and OTC markets.
Building deep understanding in how financial instruments are executed and booked.
Learning soup-to-nuts how data is transformed from investment signals into trading decisions.
Ensuring the trading life cycle is robust and scalable.
Providing support coverage.
Evaluating new tools and libraries.